3 дня назад
Software Engineer 2 (SDET) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer 2 (SDET) (AI): Building and modernizing automated test infrastructure for DNA sequencing instruments with an accent on scalable frameworks, CI/CD integration, and AI-assisted validation. Focus on designing end-to-end, API, UI, and service-level tests, improving distributed test environments, and analyzing failures across application, test, and infrastructure layers.
Location: Singapore - Woodlands - NorthCoast
Company
develops genomic sequencing and array-based technologies for genetic and genomic analysis across life sciences, oncology, reproductive health, agriculture, and related fields.
What you will do
- Design, build, and modernize automated test frameworks, tooling, and suites for DNA sequencing instruments.
- Develop and run API, UI, service-level, functional, and end-to-end tests integrated with CI/CD pipelines.
- Own test coverage and product quality from design through production release, working closely with developers on testability and code quality.
- Build and improve test infrastructure, deployment workflows, environments, and orchestration across cloud and distributed systems.
- Use AI-assisted tools for test authoring, debugging, coverage improvement, failure analysis, root-cause analysis, and release documentation.
- Participate in design and code reviews and collaborate with project managers, developers, and QA peers in Singapore and the United States.
Requirements
- At least 2 years of experience in software test development, automation engineering, or software development.
- Hands-on experience with modern UI and API automation frameworks and the full software development lifecycle.
- Experience building end-to-end, API, and service-level automated tests integrated with CI/CD.
- Strong debugging skills across application, test, and infrastructure layers, with a developer-first and automation-oriented mindset.
- Ability to reason about architecture, trade-offs, reliability, observability, and system quality.
- Bachelor’s degree or higher in Computer Science, Engineering, AI/ML, Data Science, or a related field.
Nice to have
- Experience in biotech, bioinformatics, or scientific instrumentation software.
Culture & Benefits
- Inclusive environment focused on belonging, openness, collaboration, and alternative perspectives.
- Employee Resource Groups provide career development, cultural awareness, and social responsibility opportunities.
- Equal opportunity employment with a stated zero-net pay gap across gender, ethnicity, and race.
- This role is not eligible for visa sponsorship.
- Background checks may be conducted after a conditional offer.
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